Intro to Machine Learning | Episode 2

​🎙 Join DeepStation for an exciting session on "Introduction to Machine Learning | Episode 2" featuring Leandro Lima, Machine Learning Engineer at Block (known for Square and Cash App), formerly MLE at Meta, and a PhD in Computer Science!

💻 Building on the concepts from Episode 1, Leandro takes us from theory to practice with hands-on coding demonstrations. You'll explore the famous Iris dataset while implementing logistic regression and K-nearest neighbors algorithms using Python and Jupyter notebooks.

This session bridges the gap between understanding ML concepts and actually building working models.

💡 Session Highlights:
🔹 Live coding walkthrough of classification algorithms using scikit-learn
🔹 Hands-on implementation of logistic regression and K-nearest neighbors (KNN)
🔹 Complete ML workflow: data exploration, model training, testing, and performance comparison

👤 Bio:
Leandro Lima is a PhD with a background in Computer Science and several years of experience in AI/ML. After spending 2 years at Meta, he recently joined Block (Square/Cash App) where he has worked with Personalization ML, LLMs and Block's AI agent (Goose). He was also a CS lecturer for 4 years in Brazil.

🎓 Perfect for aspiring data scientists, developers curious about ML, and anyone wanting to move from ML theory to practical implementation. Basic Python knowledge recommended but not required.

📅 Date: September 3rd, 2025
⏰ Time: 6:00pm to 7:00pm EDT
📍 Location: YouTube

🎟️ Free tickets: https://luma.com/th6lw6l8